engineer

Everyone knows what a Rube Goldberg machine is, but what do you know about the cartoonist who they're named after?

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Dr. Peterson's extensive catalog is available now on DailyWire+: https://utm.io/ueSXh

Dr. Jordan B. Peterson, Jonathan Pageau, and Jim Keller dive into the world of artificial intelligence, debating the pros and cons of technological achievement, and ascertaining whether smarter tech is something to fear or encourage.

Jim Keller is a microprocessor engineer known for his work at Apple and AMD. He has served in the role of architect for numerous game changing processors, has co-authored multiple instruction sets for highly complicated designs, and is credited for being the key player behind AMD’s renewed ability to compete with Intel in the high-end CPU market. In 2016, Keller joined Tesla, becoming Vice President of Autopilot Hardware Engineering. In 2018, he became a Senior Vice President for Intel. In 2020, he resigned due to disagreements over outsourcing production, but quickly found a new position at Tenstorrent, as Chief Technical Officer.

Jonathan Pageau is a French-Canadian liturgical artist and icon carver, known for his work featured in museums across the world. He carves Eastern Orthodox and other traditional images, and teaches an online carving class. He also runs a YouTube channel dedicated to the exploration of symbolism across history and religion.

—Links—

For Jonathan Pageau:

Icon Carving: http://www.pageaucarvings.com

Podcast: www.thesymbolicworld.com

Youtube Channel: https://www.youtube.com/c/JonathanPageau

For Jim Keller:

Twitter: https://mobile.twitter.com/jimkxa

Jim's Speech, "10 Problems to Solve": https://m.youtube.com/watch?v=o70yKYWgtVI&t=21s

Jim's Speech, "Overclocking AI": https://m.youtube.com/watch?v=L4AgmG8V3LE&t=3s

https://open.spotify.com/episode/13evHqkSPMpMMU1zfXEtAg?si=cCmtYe8yQsaAV9_ZUN8j7Q

Ian Banks References: https://en.m.wikipedia.org/wiki/Culture_series

— Chapters —

(0:00) Coming up

(1:48) Intro

(5:00) Conceptualizing artificial intelligence

(9:10) Language models and story prediction

(12:20) Deep story and prompt engineering

(18:10) Friston, error prediction and emotional mapping

(23:37) Generative models

(24:36) Does the intelligence in AI come from humans?

(27:26) Can AI have goals that are not understandable to humans?

(30:22) When a human records data vs an AI

(34:00) When will AI become autonomous?

(37:48) To create what could supplant you

(47:36) When technology is used to achieve desire, unintended consequences

(55:14) Abundance and nihilism

(58:30) High human goals and the weaponization of intelligence

(1:04:28) AI: Who will hold the keys?

(1:14:09) Technology through biblical imagery

(1:17:30) When the term “AI” ceases to make sense

(1:20:12) What will humans worship in the tech age?

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